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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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environment for teaching, research, and learning. We aspire to be a place where academic, student, professional, and public communities connect, thrive, and create positive change. Key responsibilities will
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the information booklet. For the Pre-Doctoral (PhD Pathway) : In year one, you will be predominantly focused on research/HDR studies, with up to 5% workload dedicated to citizenship/service. In years two – four
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific
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(working as part of a team), and attention to detail. Experience in programming multiple languages (Python, MATLAB, Simulink, C++, VBA, etc) Some experience in developing machine learning models Demonstrated
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discipline, including publications in high-quality peer-reviewed journals and presentations at major conferences. Demonstrated high-level mathematical and computer programming skills. Where PhD has been
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Change Makers. Together we create opportunities to share knowledge, skills, ideas and provide mentoring and peer coaching opportunities, that provide lifelong beneficial partnerships. To learn more about
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course materials that deepen mathematical understanding and spark intellectual curiosity. You'll be part of a forward-thinking, collaborative environment that values innovation in teaching and learning. As
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demonstrated capability and willingness to teach into areas within the school such as: Introductory and intermediate programming courses Cyber security systems at the introductory, intermediate or advanced
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sound judgement and discretion. Excellent computer skills including proficiency in Microsoft Office and the ability to rapidly acquire skills in new applications. Experience using University systems